Projects

Current Projects

My lab currently focuses on theoretical and applied aspects of:

  • Inverse Problems using Deep Learning

  • Physics-informed Machine Learning

  • Adversarial Machine Learning

  • Deep Reinforcement Learning

  • Distributed Machine Learning

  • Nonlinear Imaging and Phase Retrieval

  • Autonomous Navigation

  • Materials Characterization

  • Fast Algorithms for Graph Data Processing

Past Projects

In the past I have also worked on:

  • Compressed Sensing

  • Manifold-based Signal processing

  • Seismic Data Analysis

  • Computational Imaging

  • Super-resolution

Acks

My work has been generously supported by the following institutions.

NSF DARPA ARPA-E AFRL NVIDIA DOE Toyota